Avellaneda Jose

Email: avellaneda.gonzalez.jose.380@s.kyushu-u.ac.jp
Room 1022, West II Building, 744 Motooka, Nishi-ku, Fukuoka, Japan

Research Student
Graduate School and Faculty of Information Science and Electrical Engineering, Kyushu University, Japan

Educational Background

2006/02 ~ 2012/07 Department of Electronic engineering, District University Francisco José de Caldas, Colombia
2017/06 ~ 2020/10 Department of Computer Science, University of Andes, Colombia
2021/04 ~ now Graduate School of Systems Life Sciences, Kyushu University, Japan

Research Interests

Data Mining, Machine Learning, Anomaly Detection


1. J. Figueroa, C. Ochoa and J. Avellaneda, Rule generation of fuzzy logic systems using a self-organized fuzzy neural network, in Neurocomputing Volume 151, Part 3, pages 955–962. ISSN 0925-2312. 3 March 2015.
2. J. Figueroa, C. Ochoa and J. Avellaneda, A Self-Organized Fuzzy Neural Network Approach for Rule Generation of Fuzzy Logic Systems, in Communications in Computer and Information Science, Volume 375, 2013, pp 25-30. ISSN 1865-0929.
3. J. Avellaneda and C. Ochoa, A self-organizing neural fuzzy system to forecast the price of Ecopetrol shares, in IEEE Computational Intelligence for Financial Engineering and Economics, 2012. IEEE Explore, ISSN : 2380-8454

Suzuki Lab., Prof. Suzuki, ISEE, Kyushu University
Last modified: Apirl. 19, 2021